Exemple #1
0
 public static void Deserialize(string filename, out MoCapData data)
 {
     using (var stream = File.Open(filename, FileMode.Open))
     {
         data = Serializer.Deserialize <MoCapData>(stream);
     }
 }
Exemple #2
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 public static void Serialize(ref MoCapData data, string filename)
 {
     using (var stream = File.Open(filename, FileMode.Create))
     {
         Serializer.Serialize(stream, data);
     }
 }
Exemple #3
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 public static void Serialize(ref MoCapData data, string filename)
 {
     using (var stream = File.Open(filename, FileMode.Create))
     {
         Serializer.Serialize(stream, data);
     }
 }
Exemple #4
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 public static void Deserialize(string filename, out MoCapData data)
 {
     using (var stream = File.Open(filename, FileMode.Open))
     {
         data = Serializer.Deserialize<MoCapData>(stream);
     }
 }
Exemple #5
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        public static void Average(ref MoCapData data, int smoothingFactor)
        {
            if (data.BodyFrames == null || data.BodyFrames.Length == 0 || data.FaceFrames == null ||
                data.FaceFrames.Length == 0)
                throw new Exception("Invalid data!");
            if (smoothingFactor <= 0 || smoothingFactor > data.BodyFrames.Length ||
                smoothingFactor > data.FaceFrames.Length)
                throw new Exception("Invalid smoothing factor value!");

            var bodyFrames = new MoCapBodyFrame[data.BodyFrames.Length/smoothingFactor];
            var tempBodyFrames = new MoCapBodyFrame[smoothingFactor];
            for (var i = 0; i < data.BodyFrames.Length/smoothingFactor; i++)
            {
                for (var j = 0; j < smoothingFactor; j++)
                    tempBodyFrames[j] = data.BodyFrames[i*smoothingFactor + j];
                bodyFrames[i] = MoCapBodyFrame.Average(tempBodyFrames);
            }

            var faceFrames = new MoCapFaceFrame[data.FaceFrames.Length/smoothingFactor];
            var tempFaceFrames = new MoCapFaceFrame[smoothingFactor];
            for (var i = 0; i < data.FaceFrames.Length/smoothingFactor; i++)
            {
                for (var j = 0; j < smoothingFactor; j++)
                    tempFaceFrames[j] = data.FaceFrames[i*smoothingFactor + j];
                faceFrames[i] = MoCapFaceFrame.Average(tempFaceFrames);
            }

            data.BodyFrames = bodyFrames;
            data.FaceFrames = faceFrames;
        }
Exemple #6
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        public static void Average(ref MoCapData data, int smoothingFactor)
        {
            if (data.BodyFrames == null || data.BodyFrames.Length == 0 || data.FaceFrames == null ||
                data.FaceFrames.Length == 0)
            {
                throw new Exception("Invalid data!");
            }
            if (smoothingFactor <= 0 || smoothingFactor > data.BodyFrames.Length ||
                smoothingFactor > data.FaceFrames.Length)
            {
                throw new Exception("Invalid smoothing factor value!");
            }

            var bodyFrames     = new MoCapBodyFrame[data.BodyFrames.Length / smoothingFactor];
            var tempBodyFrames = new MoCapBodyFrame[smoothingFactor];

            for (var i = 0; i < data.BodyFrames.Length / smoothingFactor; i++)
            {
                for (var j = 0; j < smoothingFactor; j++)
                {
                    tempBodyFrames[j] = data.BodyFrames[i * smoothingFactor + j];
                }
                bodyFrames[i] = MoCapBodyFrame.Average(tempBodyFrames);
            }

            var faceFrames     = new MoCapFaceFrame[data.FaceFrames.Length / smoothingFactor];
            var tempFaceFrames = new MoCapFaceFrame[smoothingFactor];

            for (var i = 0; i < data.FaceFrames.Length / smoothingFactor; i++)
            {
                for (var j = 0; j < smoothingFactor; j++)
                {
                    tempFaceFrames[j] = data.FaceFrames[i * smoothingFactor + j];
                }
                faceFrames[i] = MoCapFaceFrame.Average(tempFaceFrames);
            }

            data.BodyFrames = bodyFrames;
            data.FaceFrames = faceFrames;
        }
Exemple #7
0
 public void SaveMoCap(string filename = "MoCap.mocap")
 {
     var Data = new MoCapData();
     Data.BodyFrames = BodyFrames.ToArray();
     Data.FaceFrames = FaceFrames.ToArray();
     MoCapData.Serialize(ref Data, filename);
 }
    private static AnimationClip GetAnimationClip(Animator animator, GameObject rootObject, MoCapData data,
        bool processBodyTransforms, bool processFaceTransforms, bool processFaceBlendShapes)
    {
        var animationClip = new AnimationClip();

        animationClip.name = Path.GetFileNameWithoutExtension(DataFile);
        animationClip.legacy = true;
        animationClip.wrapMode = WrapMode.Once;
        animationClip.frameRate = 25;

        animationClip.ClearCurves();

        if (data.BodyFrames != null && data.BodyFrames.Length > 0)
        {
            if (processBodyTransforms)
            {
                var transforms = new TransformTime[(int) MoCapKinectBone.Count][];

                for (var i = 0; i < (int) MoCapKinectBone.Count; i++)
                {
                    transforms[i] = new TransformTime[data.BodyFrames.Length];

                    for (var j = 0; j < data.BodyFrames.Length; j++)
                    {
                        transforms[i][j].Time = data.BodyFrames[j].SkeletonTransforms[i].Time;
                        transforms[i][j].Position = Vector3.Zero;
                        transforms[i][j].Rotation = MoCapBoneMapper.LocalRotation(ref data.BodyFrames[j],
                            (MoCapKinectBone) i);
                        transforms[i][j].Scale = Vector3.One;
                    }
                }

                foreach (MoCapKinectBone kinectBone in Enum.GetValues(typeof (MoCapKinectBone)))
                    if (MoCapBoneMapper.IsValidKinectBone(kinectBone))
                    {
                        var mecanimBone = MoCapBoneMapper.Kinect2Mecanim(kinectBone);
                        if (MoCapBoneMapper.IsValidMecanimBone(mecanimBone))
                            SetAnimationCurvesForBody(animator, rootObject, transforms[(int) kinectBone], animationClip,
                                mecanimBone, false, true, false);
                    }
            }
        }

        if (data.FaceFrames != null && data.FaceFrames.Length > 0)
        {
            if (processFaceTransforms)
            {
                var transforms = new TransformTime[data.FaceFrames.Length];

                for (var i = 0; i < data.FaceFrames.Length; i++)
                {
                    transforms[i].Time = data.FaceFrames[i].FaceTransform.Time;
                    transforms[i].Position = Vector3.Zero;
                    transforms[i].Rotation = new Quaternion(-data.FaceFrames[i].FaceTransform.Rotation.X,
                        data.FaceFrames[i].FaceTransform.Rotation.Y, data.FaceFrames[i].FaceTransform.Rotation.Z,
                        data.FaceFrames[i].FaceTransform.Rotation.W);
                    transforms[i].Scale = Vector3.One;
                }

                SetAnimationCurvesForBody(animator, rootObject, transforms, animationClip, MoCapMecanimBone.Head, false,
                    true, false);
            }

            if (processFaceBlendShapes)
            {
                var weights =
                    new List<KeyValuePair<float, float>>[(int) MoCapMixamoFacialExpression.LastBlendShape];

                foreach (
                    MoCapKinectFacialExpression kinectFacialExpression in
                        Enum.GetValues(typeof (MoCapKinectFacialExpression)))
                    if (MoCapFacialExpressionMapper.IsValidKinectFacialExpression(kinectFacialExpression))
                    {
                        for (var j = 0; j < data.FaceFrames.Length; j++)
                        {
                            MoCapMixamoFacialExpression mixamoFacialExpression;
                            float mixamoWeight;
                            MoCapFacialExpressionMapper.Kinect2Mixamo(kinectFacialExpression,
                                data.FaceFrames[j].ExpressionWeights[(int) kinectFacialExpression],
                                out mixamoFacialExpression, out mixamoWeight);

                            if (MoCapFacialExpressionMapper.IsValidMixamoFacialExpression(mixamoFacialExpression))
                            {
                                if (weights[(int) mixamoFacialExpression] == null)
                                    weights[(int) mixamoFacialExpression] =
                                        new List<KeyValuePair<float, float>>(data.FaceFrames.Length);

                                weights[(int) mixamoFacialExpression].Add(
                                    new KeyValuePair<float, float>(data.FaceFrames[j].FaceTransform.Time, mixamoWeight));
                            }
                        }
                    }

                foreach (
                    MoCapMixamoFacialExpression mixamoFacialExpression in
                        Enum.GetValues(typeof (MoCapMixamoFacialExpression)))
                    if (MoCapFacialExpressionMapper.IsValidMixamoFacialExpression(mixamoFacialExpression))
                        if (weights[(int) mixamoFacialExpression] != null &&
                            weights[(int) mixamoFacialExpression].Count > 0)
                            SetAnimationCurvesForFace(animator, rootObject,
                                weights[(int) mixamoFacialExpression].ToArray(), animationClip, mixamoFacialExpression);
            }
        }

        animationClip.EnsureQuaternionContinuity();

        return animationClip;
    }